Markus Müschen

13.4k total citations
165 papers, 4.3k citations indexed

About

Markus Müschen is a scholar working on Public Health, Environmental and Occupational Health, Hematology and Molecular Biology. According to data from OpenAlex, Markus Müschen has authored 165 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Public Health, Environmental and Occupational Health, 65 papers in Hematology and 64 papers in Molecular Biology. Recurrent topics in Markus Müschen's work include Acute Lymphoblastic Leukemia research (70 papers), Chronic Lymphocytic Leukemia Research (51 papers) and Chronic Myeloid Leukemia Treatments (50 papers). Markus Müschen is often cited by papers focused on Acute Lymphoblastic Leukemia research (70 papers), Chronic Lymphocytic Leukemia Research (51 papers) and Chronic Myeloid Leukemia Treatments (50 papers). Markus Müschen collaborates with scholars based in United States, Germany and United Kingdom. Markus Müschen's co-authors include Ralf Küppers, Klaus Rajewsky, Hassan Jumaa, Ulrich Warskulat, Huimin Geng, Matthias W. Beckmann, Michael R. Lieber, Florian Klein, Daniel Ré and Volker Diehl and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Markus Müschen

157 papers receiving 4.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Markus Müschen United States 40 2.0k 1.1k 1.1k 984 814 165 4.3k
Andrew A. Lane United States 24 2.2k 1.1× 689 0.6× 1.2k 1.2× 1.0k 1.0× 355 0.4× 109 4.0k
Hassan Jumaa Germany 45 2.7k 1.3× 3.4k 3.2× 939 0.9× 956 1.0× 1.5k 1.9× 133 6.6k
Edward A. Fox United States 33 4.8k 2.4× 632 0.6× 1.7k 1.6× 1.0k 1.0× 662 0.8× 53 7.4k
Juerg Schwaller Switzerland 33 2.1k 1.0× 754 0.7× 1.2k 1.1× 1.3k 1.3× 569 0.7× 66 3.8k
Marc Loriaux United States 34 2.0k 1.0× 678 0.6× 808 0.8× 2.2k 2.2× 2.1k 2.6× 98 4.5k
Daniele Caracciolo Italy 35 1.9k 0.9× 837 0.8× 1.1k 1.1× 1.2k 1.3× 416 0.5× 121 4.0k
Jérôme Moreaux France 40 2.9k 1.5× 1.1k 1.0× 1.5k 1.4× 1.9k 2.0× 379 0.5× 170 4.9k
Hetty E. Carraway United States 35 1.7k 0.9× 488 0.4× 1.1k 1.0× 1.4k 1.4× 815 1.0× 212 3.6k
Norma C. Gutiérrez Spain 41 3.3k 1.6× 645 0.6× 1.7k 1.6× 3.4k 3.5× 1.2k 1.4× 179 5.6k
Ulrich Steidl United States 40 2.5k 1.3× 1.1k 1.0× 810 0.8× 2.1k 2.2× 739 0.9× 126 4.7k

Countries citing papers authored by Markus Müschen

Since Specialization
Citations

This map shows the geographic impact of Markus Müschen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Markus Müschen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Müschen more than expected).

Fields of papers citing papers by Markus Müschen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus Müschen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Markus Müschen. The network helps show where Markus Müschen may publish in the future.

Co-authorship network of co-authors of Markus Müschen

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Müschen. A scholar is included among the top collaborators of Markus Müschen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Markus Müschen. Markus Müschen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Léveillé, Etienne, Shalin Kothari, Kadriye Nehir Cosgun, Coraline Mlynarczyk, & Markus Müschen. (2024). Tuning Responses to Polatuzumab Vedotin in B-cell Lymphoma. Cancer Discovery. 14(9). 1577–1580.
2.
Léveillé, Etienne, Mark E. Robinson, Thierry Bertomeu, et al.. (2024). Metabolic Determinants of Ferroptosis in B-Cell Lymphoma. Blood. 144(Supplement 1). 976–976. 1 indexed citations
3.
Kumar, Anil, Soraya Aramburo, Zunsong Hu, et al.. (2023). Isoform-specific knockdown of long and intermediate prolactin receptors interferes with evolution of B-cell neoplasms. Communications Biology. 6(1). 295–295. 4 indexed citations
4.
Contreras-Trujillo, Humberto, Samir Akre, Jiang Du, et al.. (2021). Deciphering intratumoral heterogeneity using integrated clonal tracking and single-cell transcriptome analyses. Nature Communications. 12(1). 6522–6522. 21 indexed citations
5.
Pan, Lili, Chao Hong, Lai N. Chan, et al.. (2021). PON2 subverts metabolic gatekeeper functions in B cells to promote leukemogenesis. Proceedings of the National Academy of Sciences. 118(7). 13 indexed citations
6.
Ecker, Veronika, Thomas Engleitner, Ingo Ringshausen, et al.. (2021). Targeted PI3K/AKT-hyperactivation induces cell death in chronic lymphocytic leukemia. Nature Communications. 12(1). 3526–3526. 50 indexed citations
7.
Müschen, Markus. (2019). Metabolic gatekeepers to safeguard against autoimmunity and oncogenic B cell transformation. Nature reviews. Immunology. 19(5). 337–348. 39 indexed citations
8.
Xiao, Gang, Lai N. Chan, Lars Klemm, et al.. (2018). B-Cell-Specific Diversion of Glucose Carbon Utilization Reveals a Unique Vulnerability in B Cell Malignancies. Cell. 173(2). 470–484.e18. 91 indexed citations
9.
Nguyen, Duc, William Pandori, Sharmila Mallya, et al.. (2017). mTORC1 Inhibition Induces Resistance to Methotrexate and 6-Mercaptopurine in Ph+ and Ph-like B-ALL. Molecular Cancer Therapeutics. 16(9). 1942–1953. 11 indexed citations
10.
Takao, Sumiko, Wenwen Chien, Vikas Madan, et al.. (2017). Targeting the vulnerability to NAD+ depletion in B-cell acute lymphoblastic leukemia. Leukemia. 32(3). 616–625. 30 indexed citations
11.
Cao, Qi, Micah D. Gearhart, Sigal Gery, et al.. (2016). BCOR regulates myeloid cell proliferation and differentiation. Leukemia. 30(5). 1155–1165. 66 indexed citations
12.
Lu, Zhengfei, Michael R. Lieber, Albert G. Tsai, et al.. (2015). Human Lymphoid Translocation Fragile Zones Are Hypomethylated and Have Accessible Chromatin. Molecular and Cellular Biology. 35(7). 1209–1222. 5 indexed citations
13.
14.
Nguyen, Tri, Yun Dai, Elisa Attkisson, et al.. (2011). HDAC Inhibitors Potentiate the Activity of the BCR/ABL Kinase Inhibitor KW-2449 in Imatinib-Sensitive or -Resistant BCR/ABL+ Leukemia Cells In Vitro and In Vivo. Clinical Cancer Research. 17(10). 3219–3232. 70 indexed citations
15.
Jiang, Xiaoxia, Quan Nguyen, Tao Wang, et al.. (2011). Control of B Cell Development by the Histone H2A Deubiquitinase MYSM1. Immunity. 35(6). 883–896. 78 indexed citations
16.
Grüber, Tanja A., Mi Sook Chang, Richard Sposto, & Markus Müschen. (2010). Activation-Induced Cytidine Deaminase Accelerates Clonal Evolution in BCR-ABL1 –Driven B-Cell Lineage Acute Lymphoblastic Leukemia. Cancer Research. 70(19). 7411–7420. 32 indexed citations
17.
Fang, Cong, Yanju Wang, Nam T. Vu, et al.. (2010). Integrated Microfluidic and Imaging Platform for a Kinase Activity Radioassay to Analyze Minute Patient Cancer Samples. Cancer Research. 70(21). 8299–8308. 51 indexed citations
18.
Nahar, Rahul & Markus Müschen. (2009). Pre-B cell receptor signaling in acute lymphoblastic leukemia. Cell Cycle. 8(23). 3874–3877. 7 indexed citations
19.
Feldhahn, Niklas, Bin Zhang, Daniel Trageser, et al.. (2007). Nilotinib treatment in mouse models of P190 Bcr/Abl lymphoblastic leukemia. Molecular Cancer. 6(1). 67–67. 33 indexed citations
20.
Su, Yuwen, Sebastian Herzog, Michael Lotz, et al.. (2004). The molecular requirements for LAT‐mediated differentiation and the role of LAT in limiting pre‐B cell expansion. European Journal of Immunology. 34(12). 3614–3622. 10 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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